scholarly journals Rational Behavior Adjustment Process with Boundedly Rational User Equilibrium

2017 ◽  
Vol 51 (3) ◽  
pp. 968-980 ◽  
Author(s):  
Hongbo Ye ◽  
Hai Yang
Keyword(s):  
User Equilibrium ◽  
Adjustment Process ◽  
Rational Behavior ◽  
Behavior Adjustment

scholarly journals Nonlinear Min-Cost-Pursued Route-Swapping Dynamic System

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Wenyi Zhang ◽  
Wei Guan ◽  
Jihui Ma ◽  
Tao Wang
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
User Equilibrium ◽  
Adjustment Process ◽  
Rational Behavior ◽  
Traffic Network ◽  
Selfish Routing ◽  
Numerical Examples ◽  
The Stability ◽  
Routing Games

This study proposes a nonlinear min-cost-pursued swapping dynamic (NMSD) system to model the evolution of selfish routing games on traffic network where travelers only swap from previous costly routes to the least costly ones. NMSD is a rational behavior adjustment process with stationary link flow pattern being the Wardrop user equilibrium. NMSD is able to prevent two behavioral deficiencies suffered by the existing min-cost-oriented models and keep solution invariance. NMSD relaxes the homogeneous user assumption, and the continuous-time NMSD (CNMSD) and discrete-time NMSD (DNMSD) share the same revision protocol. Moreover, CNMSD is Lyapunov-stable. Two numerical examples are conducted. The first one is designed to characterize the NMSD-conducted network traffic evolution and test the stability of day-to-day NMSD. The second one aims to explore the impacts of network scale on the stability of route-swaps conducted by pairwise and min-cost-pursed swapping behaviors.

scholarly journals Evaluation methods of dynamic flexible transportation systems

2021 ◽  
Author(s):  
Shadi Djavadian
Keyword(s):  
Real Data ◽  
User Equilibrium ◽  
Adjustment Process ◽  
Social Optimum ◽  
Agent Based ◽  
Digital World ◽  
Transport Services ◽  
Last Mile ◽  
Last Mile Problem

With advances in mobile technologies, social networks and global positioning (GPS) in the digital world, alternative mobility systems (taxis, carpool, demand-responsive services, peer-to-peer ridesharing, carsharing) have garnered interest from both public and private sectors as potential solutions to address last mile problem in public transit. Although there are number of models to optimize flexible or dynamic transit operations there has not been any methodology to evaluate equilibrium demand and effect on social welfare for these systems in an integrated supply-demand context. This study lays the groundwork for studying the equilibrium of these systems, and proposes an agent-based adjustment process to evaluate the properties of a stable sate as an agent-based stochastic user equilibrium (SUE). Four sets of experiments are conducted: (1) illustration with a simple 2-link network, (2) evaluation of a dynamic dial-a-ride policy, and (3 &4) illustration using real data from Oakville, Ontario & Manhattan, NY. The experiments demonstrate that the proposed model with multiple sample populations can generate an invariant distribution of demand and welfare effects and it can effectively be used to measure the effect of changes in flexible transport services operation policies on ridership. Moreover, this study also explores flexible transport services as two-sided markets, and extends the proposed agent-based day-to-day adjustment process to include day-to-day adjustment of the service operator(s) as a two-sided market. Additional computational experiments and a case study are conducted. Findings confirm the existence of thresholds from which network externalities cause two-sided and one-sided market equilibria to diverge. The Ramsey pricing criterion is used for social optimum to show that perfectly matched states from the proposed day-to-day process are equivalent to a social optimum. A case study using real data from Oakville, Ontario, as a first/last mile problem example demonstrates the sensitivity of the two-sided day-to-day model to operating policies.

scholarly journals Evaluation methods of dynamic flexible transportation systems

2021 ◽  
Author(s):  
Shadi Djavadian
Keyword(s):  
Real Data ◽  
User Equilibrium ◽  
Adjustment Process ◽  
Social Optimum ◽  
Agent Based ◽  
Digital World ◽  
Transport Services ◽  
Last Mile ◽  
Last Mile Problem

With advances in mobile technologies, social networks and global positioning (GPS) in the digital world, alternative mobility systems (taxis, carpool, demand-responsive services, peer-to-peer ridesharing, carsharing) have garnered interest from both public and private sectors as potential solutions to address last mile problem in public transit. Although there are number of models to optimize flexible or dynamic transit operations there has not been any methodology to evaluate equilibrium demand and effect on social welfare for these systems in an integrated supply-demand context. This study lays the groundwork for studying the equilibrium of these systems, and proposes an agent-based adjustment process to evaluate the properties of a stable sate as an agent-based stochastic user equilibrium (SUE). Four sets of experiments are conducted: (1) illustration with a simple 2-link network, (2) evaluation of a dynamic dial-a-ride policy, and (3 &4) illustration using real data from Oakville, Ontario & Manhattan, NY. The experiments demonstrate that the proposed model with multiple sample populations can generate an invariant distribution of demand and welfare effects and it can effectively be used to measure the effect of changes in flexible transport services operation policies on ridership. Moreover, this study also explores flexible transport services as two-sided markets, and extends the proposed agent-based day-to-day adjustment process to include day-to-day adjustment of the service operator(s) as a two-sided market. Additional computational experiments and a case study are conducted. Findings confirm the existence of thresholds from which network externalities cause two-sided and one-sided market equilibria to diverge. The Ramsey pricing criterion is used for social optimum to show that perfectly matched states from the proposed day-to-day process are equivalent to a social optimum. A case study using real data from Oakville, Ontario, as a first/last mile problem example demonstrates the sensitivity of the two-sided day-to-day model to operating policies.

Catalogue reduction techniques

1978 ◽  
Vol 48 ◽  
pp. 389-390 ◽  
Author(s):  
Chr. de Vegt
Keyword(s):  
Adjustment Process ◽  
Proper Motions ◽  
Measuring Process ◽  
Aerial Photogrammetry ◽  
Reduction Techniques ◽  
Observational Technique ◽  
The Common ◽  
Astrometric Data

AbstractReduction techniques as applied to astrometric data material tend to split up traditionally into at least two different classes according to the observational technique used, namely transit circle observations and photographic observations. Although it is not realized fully in practice at present, the application of a blockadjustment technique for all kind of catalogue reductions is suggested. The term blockadjustment shall denote in this context the common adjustment of the principal unknowns which are the positions, proper motions and certain reduction parameters modelling the systematic properties of the observational process. Especially for old epoch catalogue data we frequently meet the situation that no independent detailed information on the telescope properties and other instrumental parameters, describing for example the measuring process, is available from special calibration observations or measurements; therefore the adjustment process should be highly self-calibrating, that means: all necessary information has to be extracted from the catalogue data themselves. Successful applications of this concept have been made already in the field of aerial photogrammetry.

Thomas Schelling, Robert Aumann and Interactive Decision Theory (2005 Nobel Prize in Economics)

2006 ◽  
pp. 4-21
Author(s):  
A. Belyanin
Keyword(s):  
Social Sciences ◽  
International Relations ◽  
Nobel Prize ◽  
Rational Behavior ◽  
Human Interactions ◽  
The Game Theory ◽  
Applied Industrial Organization ◽  
Nobel Prize Laureates ◽  
Thomas Schelling ◽  
Human Rationality

The paper describes the contributions of T. Schelling and R. J. Aumann, the Nobel Prize laureates of 2005 in economics, to modern economics and social sciences. Their key contributions were in the field of the game theory - a major tool to study human interactions and rational behavior in a wide variety of contexts, from applied industrial organization to labor economics, public policy, international relations and political science. Works by Aumann and Schelling were pathbreaking in this respect, and have paved the way to many modern developments that enhance our understanding of human rationality.

A New Model of Man in Economics

2011 ◽  
pp. 78-98
Author(s):  
M. Storchevoy
Keyword(s):  
Behavioral Economics ◽  
Human Behavior ◽  
Social Factors ◽  
Rational Behavior ◽  
New Model ◽  
Common Framework

The paper draws on the most recent research in the field of behavioral economics, neuroscience, and other disciplines and shows how biological and social factors interact and co-determine real human behavior. The author considers in detail various affects and forms of non-rational behavior. He proposes a common framework for such analysis, where each of those forms of behavior becomes the result of conscious or evolutionary-driven choice.

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